Interested in biomaterials and the correlative analysis using X-ray based techniques such as computed tomography and diffraction. A special focus lies in the understanding of the interplay between mechanical stresses and degradation in biodegradable magnesium-based implant materials.

Nico Hoffmann is heading Helmholtz AI's young investigator's group "AI for Future Photon Sciences". His research interest are physics-guided machine learning for solving inverse imaging problems as well as application of Reinforcement Learning to planning and control problems arising at …

I am an early career researcher with a strong interest in microscopy at the nanoscale and materials science with a background in Chemistry and Molecular biology. I am particularly interested in bactericidal surfaces, and understanding the bactericidal mechanism shown by …

I am a deep learning researcher with experience in:
- Self Supervised Learning
- Active Learning
- Supervised Learning
- Generative modeling

For:
- Representation learning
- Denoising
- Resolution enhancement
- Classification
- Semantic segmentation
- Instance segmentation

Applied …

I am working on synchrotron-radiation-based microtomography and phase contrast imaging techniques and their application for in situ/vivo experiments at the outstation of the Helmholtz-Zentrum Hereon at the PETRA III storage ring in Hamburg. Further research interests are tomographic reconstruction techniques, …

Interested in correlative characterization using X-ray computed tomography at the micro- and nanoscale, as well as X-ray diffraction, X-ray fluorescence and small angle X-ray scattering experiments.
Focus on biodegradable magnesium implants and surrounding tissue such as bone or soft tissues.